Relativity Announces aiR Assist General Roll Out

2026-06-16 · Source: Artificial Lawyer · Field: Legal & Regulatory — Legal Technology (LegalTech), Litigation & Dispute Resolution, Compliance & Risk Management · Depth: Novice, quick

Summary

Relativity has announced the general availability of aiR Assist and custom analyses in Relativity aiR for Review, making both capabilities standard in its RelativityOne offering by the end of June. This rollout follows Relativity's acquisition of contract AI company Gavel and coincides with its London RelFest event. aiR Assist enables legal teams to query their data using plain language, receiving instant, cited answers to identify crucial facts and inform legal strategy. It supports up to 300,000 documents per index and 1.5 million documents per workspace. Concurrently, custom analyses allow legal professionals to define, deploy, and scale document review analyses without coding, facilitating the identification and classification of content across millions of documents with verifiable and defensible outputs. Relativity CEO Phil Saunders emphasized these features integrate AI natively into RelativityOne, ensuring auditable, data-grounded insights for legal defensibility.

Key takeaway

For legal professionals managing e-discovery or complex document review, Relativity's aiR Assist and custom analyses offer a significant shift. If you are seeking to streamline fact-finding and ensure data defensibility, you should explore how these native AI capabilities can provide auditable, cited answers and flexible, code-free custom analyses directly within RelativityOne. This integration allows you to shape strategy earlier and confidently present AI-derived insights in court or to regulators.

Key insights

Relativity's aiR Assist and custom analyses natively integrate AI into legal workflows for auditable, defensible data insights.

Principles

• AI integration in legal platforms must be native and auditable.
• Legal AI outputs require defensibility for court and regulators.
• Plain-language interfaces improve data access for legal professionals.

Method

Legal teams can ask plain-language questions of data for cited answers and define custom review analyses to classify content across millions of documents without coding.

In practice

• Instantly retrieve cited answers from legal data using natural language.
• Configure custom document review analyses for specific case needs.
• Classify key content across millions of documents with verifiable outputs.

Topics

• Relativity aiR Assist
• Legal AI
• E-discovery
• Document Review
• RelativityOne
• Data Defensibility

Best for: Legal Professional, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Lawyer.